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Chunk-Guided Q-Learning
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FLUX: Data Worth Training On
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When Visual Privacy Protection Meets Multimodal Large Language Models
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Exploiting temporal parallelism for LSTM Autoencoder acceleration on FPGA
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Supervised Fine-Tuning versus Reinforcement Learning: A Study of Post-Training Methods for Large Language Models
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Faithful or Just Plausible? Evaluating the Faithfulness of Closed-Source LLMs in Medical Reasoning
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VAD4Space: Visual Anomaly Detection for Planetary Surface Imagery
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Human-like Object Grouping in Self-supervised Vision Transformers
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TDMM-LM: Bridging Facial Understanding and Animation via Language Models
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Location Aware Embedding for Geotargeting in Sponsored Search Advertising
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A Systematic Evaluation Protocol of Graph-Derived Signals for Tabular Machine Learning
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PhyGaP: Physically-Grounded Gaussians with Polarization Cues
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The Taxonomies, Training, and Applications of Event Stream Modelling for Electronic Health Records
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U-Face: An Efficient and Generalizable Framework for Unsupervised Facial Attribute Editing via Subspace Learning
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Towards Generalizable Deepfake Detection via Real Distribution Bias Correction
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Beyond Explicit Edges: Robust Reasoning over Noisy and Sparse Knowledge Graphs
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Formal Abductive Explanations for Navigating Mental Health Help-Seeking and Diversity in Tech Workplaces
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Multi-Grained Vision-Language Alignment for Domain Generalized Person Re-Identification
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Aumann-SHAP: The Geometry of Counterfactual Interaction Explanations in Machine Learning
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SemEval-2026 Task 6: CLARITY -- Unmasking Political Question Evasions
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Traffic and weather driven hybrid digital twin for bridge monitoring
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Benchmarking Open-Source PPG Foundation Models for Biological Age Prediction
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Intrinsic Tolerance in C-Arm Imaging: How Extrinsic Re-optimization Preserves 3D Reconstruction Accuracy
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What Counts as Real? Speech Restoration and Voice Quality Conversion Pose New Challenges to Deepfake Detection
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Probing neural audio codecs for distinctions among English nuclear tunes
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NepTam: A Nepali-Tamang Parallel Corpus and Baseline Machine Translation Experiments
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Demand-Driven Context: A Methodology for Building Enterprise Knowledge Bases Through Agent Failure
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TMPDiff: Temporal Mixed-Precision for Diffusion Models
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A Benchmark for Multi-Party Negotiation Games from Real Negotiation Data
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Gated Graph Attention Networks for Predicting Duration of Large Scale Power Outages Induced by Natural Disasters
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Conditioning on a Volatility Proxy Compresses the Apparent Timescale of Collective Market Correlation
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MotionCFG: Boosting Motion Dynamics via Stochastic Concept Perturbation
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Self-Supervised Uncertainty Estimation For Super-Resolution of Satellite Images
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Enhancing Mental Health Classification with Layer-Attentive Residuals and Contrastive Feature Learning
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SGR-OCC: Evolving Monocular Priors for Embodied 3D Occupancy Prediction via Soft-Gating Lifting and Semantic-Adaptive Geometric Refinement
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Enhancing Eye Feature Estimation from Event Data Streams through Adaptive Inference State Space Modeling
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CMHL: Contrastive Multi-Head Learning for Emotionally Consistent Text Classification
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Bootstrapped Physically-Primed Neural Networks for Robust T2 Distribution Estimation in Low-SNR Pancreatic MRI
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Effective Feature Learning for 3D Medical Registration via Domain-Specialized DINO Pretraining
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Understanding the Emergence of Seemingly Useless Features in Next-Token Predictors
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Evaluating Four FPGA-accelerated Space Use Cases based on Neural Network Algorithms for On-board Inference
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Soft Mean Expected Calibration Error (SMECE): A Calibration Metric for Probabilistic Labels
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Not All Latent Spaces Are Flat: Hyperbolic Concept Control
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Maximin Robust Bayesian Experimental Design
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Concisely Explaining the Doubt: Minimum-Size Abductive Explanations for Linear Models with a Reject Option
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Integrating Explainable Machine Learning and Mixed-Integer Optimization for Personalized Sleep Quality Intervention
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ST-ResGAT: Explainable Spatio-Temporal Graph Neural Network for Road Condition Prediction and Priority-Driven Maintenance
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SVD Contextual Sparsity Predictors for Fast LLM Inference
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OasisSimp: An Open-source Asian-English Sentence Simplification Dataset
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Revisiting the Perception-Distortion Trade-off with Spatial-Semantic Guided Super-Resolution
